Abstract: Speech emotional recognition (SER) focuses on developing computers' comprehension and response to human emotional tones and is a key field of research in human-machine interaction. This ...

Abstract: This paper presents a novel emotion-based music recommendation system that integrates real-time facial expression analysis with personalized music selection using deep learning techniques.

Abstract: Bringing clarity to emotional expression stands at the core of our research. This study focuses on elucidating emotional expression, especially in therapeutic settings for autistic children, ...

Abstract: This work focuses on constructing a deep learning-based model for facial emotion recognition, taking ResNet50 as the backbone. To boost generalization, a number of data augmentation ...

Abstract: Emotion recognition from electroencephalography (EEG) signals is an important component of emotionally intelligent human–computer interaction systems. However, existing approaches often rely ...

Abstract: Recently deep learning models for computer vision tasks have been widely utilized in many fields, including industry and academia. One of the most challenging implementations is performing ...

Abstract: Speech Emotion Recognition (SER) plays a crucial role in human-computer interaction, offering insights into user emotions, particularly in environments with complex acoustic interactions ...

Abstract: In today's technologically advanced world, meaningful human interaction depends on effective communication. However, those who struggle to express emotions in conventional ways often face ...

Abstract: In this paper, we proposed a novel deep learning framework, the Synergistic Deep Learning Model, for recognizing copyrighted characters with heightened accuracy and minimized overfitting.